{
 "cells": [
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-03-03T04:15:32.907051Z",
     "start_time": "2025-03-03T04:15:32.377705Z"
    }
   },
   "cell_type": "code",
   "source": [
    "import numpy as np\n",
    "from matplotlib import pyplot as plt\n",
    "\n",
    "us_file_path = \"./youtube_video_data/US_video_data_numbers.csv\"\n",
    "uk_file_path = \"./youtube_video_data/GB_video_data_numbers.csv\"\n",
    "\n",
    "# t1 = np.loadtxt(us_file_path,delimiter=\",\",dtype=\"int\",unpack=True)\n",
    "t_us = np.loadtxt(us_file_path, delimiter=\",\", dtype=\"int\")\n",
    "\n",
    "# 取美国的电影的评论的数据\n",
    "t_us_comments = t_us[:, -1]\n",
    "\n",
    "#选择比5000小的数据\n",
    "t_us_comments = t_us_comments[t_us_comments <= 5000]  #发现大部分都在5000以下，筛选一下\n",
    "\n",
    "print(t_us_comments.shape)\n",
    "\n",
    "#再看最小值和最大值\n",
    "print(t_us_comments.max(), t_us_comments.min())\n"
   ],
   "id": "f6db2bc09bb50034",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1373,)\n",
      "4995 0\n"
     ]
    }
   ],
   "execution_count": 1
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-01-07T02:51:15.365356Z",
     "start_time": "2025-01-07T02:51:15.268148Z"
    }
   },
   "cell_type": "code",
   "source": [
    "#剩余多少数据\n",
    "print(t_us_comments.shape)\n",
    "d = 50\n",
    "\n",
    "bin_nums = (t_us_comments.max() - t_us_comments.min()) // d\n",
    "\n",
    "# 绘图\n",
    "plt.figure(figsize=(20, 8), dpi=80)\n",
    "\n",
    "plt.hist(t_us_comments, bin_nums)\n",
    "\n",
    "plt.grid(True)\n",
    "plt.show()"
   ],
   "id": "94a6cf2e2cfdeeb",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1373,)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1600x640 with 1 Axes>"
      ],
      "image/png": "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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 7
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-01-07T02:56:27.996651Z",
     "start_time": "2025-01-07T02:56:27.943912Z"
    }
   },
   "cell_type": "code",
   "source": [
    "import numpy as np\n",
    "from matplotlib import pyplot as plt\n",
    "\n",
    "us_file_path = \"./youtube_video_data/US_video_data_numbers.csv\"\n",
    "uk_file_path = \"./youtube_video_data/GB_video_data_numbers.csv\"\n",
    "\n",
    "# t1 = np.loadtxt(us_file_path,delimiter=\",\",dtype=\"int\",unpack=True)\n",
    "#unpack实现转置的效果\n",
    "t_uk = np.loadtxt(uk_file_path, delimiter=\",\", dtype=\"int\")\n",
    "\n",
    "#取出来英国的youtube评论数和喜欢数,第1列是like数，第3列是comment数\n",
    "\n",
    "t_uk = t_uk[t_uk[:, 1] <= 250000]  #筛选like数小于等于250000的视频，大部分都在250000以下\n",
    "print(t_uk.shape)\n",
    "t_uk_like = t_uk[:, 1]  #取出like数列，第一列，作为横轴坐标\n",
    "\n",
    "t_uk_comment = t_uk[:, -1]  #取出评论数列，最后一列，作为纵轴坐标\n",
    "\n",
    "plt.figure(figsize=(20, 8), dpi=80)\n",
    "#打印横轴纵轴标签\n",
    "plt.xlabel(\"like\")\n",
    "plt.ylabel(\"comment\")\n",
    "plt.scatter(t_uk_like, t_uk_comment)  #画散点图,观察横轴和纵轴的关系\n",
    "\n",
    "plt.show()"
   ],
   "id": "90f5463577431385",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1556, 4)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1600x640 with 1 Axes>"
      ],
      "image/png": "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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 9
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-01-07T02:57:25.354413Z",
     "start_time": "2025-01-07T02:57:25.350255Z"
    }
   },
   "cell_type": "code",
   "source": [
    "t1 = np.loadtxt(us_file_path, delimiter=\",\", dtype=\"int\", unpack=True)  #unpack实现转置的效果\n",
    "t1.shape"
   ],
   "id": "e8dca4c67aec56d0",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(4, 1688)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 10
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
